Diesel Engine Modeling for Engine Management System Development
Licentiatavhandling, 2012

Due to increasingly strict emission legislation and stronger demands on fuel consumption, typical passenger car diesel engines become increasingly complex with more and more controllable systems added. These added systems open up for the possibility to operate the engine at more efficient conditions, but it also becomes more challenging to optimize the settings in the engine management system. One approach to handle this issue is to use a model-based strategy for engine management system optimization. This thesis describes the development and implementation of a complete diesel engine vehicle system simulation model intended to be used for engine management system optimization. The model can perform a simulation of a vehicle driving according to a predefined transient vehicle driving cycle, and it estimates the fuel consumption together with the NOx and soot emissions throughout the simulation depending on the settings in the engine management system. The simulation model is implemented in the Matlab Simulink environment, and the simulation time is in the range of 10 to 20 times faster than real-time.

Engine control

Diesel engines

Engine management system

Emissions

Simulation

Optimization

Modeling

EA, Hörsalsvägen 11, Chalmers University of Technology
Opponent: Doctor Johan Dahl, Volvo Group Trucks Technology

Författare

Markus Grahn

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

B-splines for Diesel Engine Emission Modeling

IFAC Proceedings Volumes (IFAC-PapersOnline),; (2012)p. 416-423

Paper i proceeding

A Diesel Engine Model for Dynamic Drive Cycle Simulations

IFAC Proceedings Volumes (IFAC-PapersOnline),; Vol. 18(2011)p. 11833-11838

Paper i proceeding

Ämneskategorier

Datorteknik

Annan materialteknik

Reglerteknik

Signalbehandling

Styrkeområden

Transport

Energi

R - Department of Signals and Systems, Chalmers University of Technology: R008/2012

EA, Hörsalsvägen 11, Chalmers University of Technology

Opponent: Doctor Johan Dahl, Volvo Group Trucks Technology

Mer information

Skapat

2017-10-06